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Comparative analysis of the 4D encoding of regulatory networks in stem cells

Comparative analysis of the 4D encoding of regulatory networks in stem cells
干细胞调控网络4D编码的比较分析
批准号:
8572810
负责人:
Seyed Ali Mortazavi
金额:
$231.6万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-30 至 2018-06-30

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中文摘要
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英文摘要
DESCRIPTION (provided by applicant): While all of the cells in a human body share the same genome, different cell types have characteristic gene expression patterns that are controlled by elaborate gene regulatory networks. Understanding the encoding of these developmental programs in the genome and how they give rise to the diverse transcriptomes of differentiated cell types is the primary goal of functional genomics and one of the driving research themes of modern biomedical research in general. There is now ample evidence that the tight spatio-temporal regulation of the expression of thousands of genes is controlled by regulatory elements called enhancers that can be found far away from their cognate promoters via long-range looping interactions. With the development a multiple high-throughput assays to determine protein-DNA interactions, gene expression levels, and long- range interactions, we are on the cusp of sophisticated integrative studies where we can use combinations of these assays to ask fundamental questions about how protein-DNA interactions and enhancer-promoter interactions genome-wide account for changes in cell state across high-resolution differentiation time courses. We propose to develop several new experimental and computational methods to increase the resolution, applicability, and validation of protein-DNA interactions as well as long-range interactions to understand their role in controlling gene expression during differentiation from progenitor cells to differentiated cell types. Once developed, these methods will be widely applicable across a variety of studies in functional genomics. To demonstrate the power of these methods, we will apply them to study the differentiation of existing human, mouse, horse and dog stem cells into cardiomyocytes and neurons in order to understand the role, conservation and dynamics of these long-range interactions. The results will greatly expand our understanding of both the evolution and role of long-range interactions in homologous cell differentiation in mammals and whether particular long-range interactions are critical for the efficient differentiation of stem cells into fully- differentiated cell types.
期刊论文(4)
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会议论文
Better together: multiplexing samples to improve the preparation and reliability of gene expression studies.
更好的结合:多重样品以改善基因表达研究的准备工作和可靠性。
DOI: 10.1038/nmeth.3333
发表时间: 2015
期刊: Nature methods
影响因子: 48
作者: [Mortazavi,Ali]
通讯作者: Mortazavi,Ali
DOI: 10.1186/s13059-016-0881-8
发表时间: 2016-01-26
期刊: Genome biology
影响因子: 12.3
作者: [Conesa A, Madrigal P, Tarazona S, Gomez-Cabrero D, Cervera A, McPherson A, Szcześniak MW, Gaffney DJ, Elo LL, Zhang X, Mortazavi A]
通讯作者: Mortazavi A
Center for Mouse Genomic Variation at Single Cell Resolution
  • 批准号:
    10643874
  • 项目类别:
  • 资助金额:
    $253.43万
  • 财政年份:
    2021
  • 负责人:
    Seyed Ali Mortazavi
  • 依托单位:
Center for Mouse Genomic Variation at Single Cell Resolution
  • 批准号:
    10474393
  • 项目类别:
  • 资助金额:
    $253.43万
  • 财政年份:
    2021
  • 负责人:
    Seyed Ali Mortazavi
  • 依托单位:
Center for Mouse Genomic Variation at Single Cell Resolution
  • 批准号:
    10297730
  • 项目类别:
  • 资助金额:
    $128.48万
  • 财政年份:
    2021
  • 负责人:
    Seyed Ali Mortazavi
  • 依托单位:
Defining the Mechanistic Link between C5aR1 signaling and cognitive loss in Alzheimer's diseases
  • 批准号:
    10213622
  • 项目类别:
  • 资助金额:
    $66.23万
  • 财政年份:
    2018
  • 负责人:
    Seyed Ali Mortazavi
  • 依托单位:
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